Director, Product Management - Data - Remote

Overview

We are looking for an inspiring, technically savvy, driven leader for our Director of Product Management – Data role. This role will play a pivotal role in driving the strategy, development, and optimization of our data assets, ensuring they provide maximum value to our customers. You will work cross-functionally to enhance data quality, scalability, and accessibility, directly impacting our ability to deliver market-leading sales intelligence, B2B insights, and go-to-market strategies. This position requires a mix of deep data expertise, product vision, and leadership skills to influence and execute on high-impact initiatives. This role will report to the VP of Product, Data Strategy and Ops.

In Short

• Define and drive the vision and roadmap for data asset development, ensuring alignment with company objectives and customer needs.
• Identify and prioritize initiatives that improve data coverage, accuracy, timeliness, and reliability.
• Develop and optimize strategies for data sourcing, ingestion, transformation, and delivery to end-users.
• Ensure compliance with data privacy regulations and industry best practices (e.g., GDPR, CCPA).
• Establish key performance indicators (KPIs) to measure the impact and success of data asset initiatives.
• Act as a thought leader and subject matter expert on data strategy, advocating for data-driven decision-making across the organization.
• Lead a team of high performing product managers and inspire them to do the best work of their lives.
• Lead cross-functional teams to enhance data acquisition, enrichment, and usability.
• Set strong goals and metrics, measure achievement, and drive for the big wins.
• Be data obsessed and make data backed decisions in trade-offs and priorities.

Requirements

• A minimum of 10+ years of experience in product management, managing product strategy and roadmaps in technology focused business.
• 5+ years of management experience in leading small to mid-size product management teams.
• Strong understanding of data architecture, data engineering, machine learning models, and ETL processes.
• Deep experience with large-scale datasets, data enrichment techniques, and third-party data partnerships.
• Familiarity with data compliance frameworks such as GDPR, CCPA, and other relevant regulations.
• Proven ability to lead teams, influence stakeholders, and communicate complex data strategies.
• Ability to leverage data to drive strategic decision-making and measure impact.
• Experience working cross-functionally with engineering, data science, sales, and marketing teams.

Benefits

• Generous health insurance coverage, life, and disability insurance.
• 401K employer matching program.
• Paid holidays and self-care days.
• Paid time off (PTO).
• Access to LinkedIn Learning platform for personal and professional development.
• Quarterly wellness education sessions.
• Employee well-being initiatives and events.
• Stock options available.
• Growth mindset culture with numerous learning initiatives.
• Support for remote work with necessary equipment provided.